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Order statistic
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== Notation and examples == For example, suppose that four numbers are observed or recorded, resulting in a sample of size 4. If the sample values are :6, 9, 3, 7, the order statistics would be denoted :<math>x_{(1)}=3,\ \ x_{(2)}=6,\ \ x_{(3)}=7,\ \ x_{(4)}=9,\,</math> where the subscript {{math|({{italics correction|''i''}})}} enclosed in parentheses indicates the {{math|{{italics correction|''i''}}}}th order statistic of the sample. The '''first order statistic''' (or '''smallest order statistic''') is always the [[minimum]] of the sample, that is, :<math>X_{(1)}=\min\{\,X_1,\ldots,X_n\,\}</math> where, following a common convention, we use upper-case letters to refer to random variables, and lower-case letters (as above) to refer to their actual observed values. Similarly, for a sample of size {{math|''n''}}, the {{math|{{italics correction|''n''}}}}th order statistic (or '''largest order statistic''') is the [[maximum]], that is, :<math>X_{(n)}=\max\{\,X_1,\ldots,X_n\,\}.</math> The [[sample range]] is the difference between the maximum and minimum. It is a function of the order statistics: :<math>{\rm Range}\{\,X_1,\ldots,X_n\,\} = X_{(n)}-X_{(1)}.</math> A similar important statistic in [[exploratory data analysis]] that is simply related to the order statistics is the sample [[interquartile range]]. The sample median may or may not be an order statistic, since there is a single middle value only when the number {{math|''n''}} of observations is [[Even and odd numbers|odd]]. More precisely, if {{math|1=''n'' = 2''m''+1}} for some integer {{math|''m''}}, then the sample median is <math>X_{(m+1)}</math> and so is an order statistic. On the other hand, when {{math|''n''}} is [[even and odd numbers|even]], {{math|1=''n'' = 2''m''}} and there are two middle values, <math>X_{(m)}</math> and <math>X_{(m+1)}</math>, and the sample median is some function of the two (usually the average) and hence not an order statistic. Similar remarks apply to all sample quantiles.
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